Why It Matters
Deployment failures = downtime = angry users.
Modern SaaS: deployments happen daily or hourly.
Strategy determines risk exposure.
Rollback capability critical.
Recreate Deployment
Stop old, start new. Simple.
Downtime: minutes to hours.
OK for: internal tools, MVP, low-traffic.
Not for: production SaaS.
Rolling Deployment
Update servers one/few at a time.
No downtime if done right.
Mixed versions during rollout.
Standard in Kubernetes.
Good default choice.
Blue-Green Deployment
Two identical environments: blue (current) and green (new).
Switch traffic all at once.
Instant rollback: switch back to blue.
Requires: 2x infrastructure temporarily.
Canary Deployment
New version to small % of traffic.
Monitor metrics.
Gradually increase %.
Roll back if issues.
Best for high-stakes releases.
Feature Flags
Deploy code, don’t release feature.
Toggle feature on/off without deployment.
Gradual rollout to user segments.
A/B testing built in.
Shadow Deployment
Mirror production traffic to new version.
New version handles requests, results ignored.
Test at real scale before switching.
Best for major rewrites.
Database Migrations
Trickiest part of deployment.
Backwards-compatible changes only.
Add columns before removing old ones.
Multiple deployment cycles for schema changes.
Rollback Strategy
Every deployment: how to roll back?
Automated rollback triggers.
Data migration: harder to roll back.
Test rollback procedures.
Monitoring During Deploy
Error rates.
Response times.
Success rates.
Custom business metrics.
Alerts if degradation.
Deployment Windows
High-traffic hours: risky.
Low-traffic hours (2-4 AM): safer.
Business days vs weekends.
Depends on your traffic patterns.
CI/CD Pipeline
Automated tests before deploy.
Staging environment mirrors production.
Deploy to staging first.
Automated deployment after all checks pass.
Zero-Downtime Requirements
Health checks: don’t send traffic until ready.
Graceful shutdown: finish requests before stopping.
Session handling: users don’t lose sessions.
Database compatible with old + new.
Tools
Kubernetes: rolling deployments built in.
AWS ECS: multiple strategies.
GitHub Actions/GitLab CI: automation.
LaunchDarkly, Split: feature flags.
Our Approach
Small changes: rolling deployment.
Major features: feature flags + gradual rollout.
High-risk changes: canary.
Database changes: multi-phase deployment.
Based on Real Projects
This guide is based on our work with:
Further Reading
If this guide helped you, you might also want to read our comprehensive guide on Custom SaaS Development.
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